PCElbowPlot: Quickly Pick Relevant PCs
In nukappa/seurat_v2: Seurat : R toolkit for single cell genomics
Description
Usage
Arguments
Value
Description
Plots the standard deviations (or approximate singular values if running PCAFast)
of the principle components for easy identification of an elbow in the graph.
This elbow often corresponds well with the significant PCs and is much faster to run.
Usage
1
PCElbowPlot(object, num.pc = 20)
Arguments
object
Seurat object
num.pc
Number of PCs to plot
Value
Returns ggplot object
nukappa/seurat_v2 documentation built on May 24, 2019, 9:57 a.m.
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Description Usage Arguments Value
Description
Plots the standard deviations (or approximate singular values if running PCAFast) of the principle components for easy identification of an elbow in the graph. This elbow often corresponds well with the significant PCs and is much faster to run.
Usage
1 | PCElbowPlot(object, num.pc = 20)
|
Arguments
object |
Seurat object |
num.pc |
Number of PCs to plot |
Value
Returns ggplot object
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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